Reconstructibility of unrooted level-$k$ phylogenetic networks from distances
Leo van Iersel, Vincent Moulton, Yukihiro Murakami

TL;DR
This paper investigates the reconstructibility of unrooted level-$k$ phylogenetic networks from distance data, establishing which levels can be uniquely determined by shortest or multiset distances, with proofs for levels 1 and 2.
Contribution
It proves that unrooted level-1 and level-2 networks are uniquely reconstructible from distance data, while higher levels are not, clarifying the limits of distance-based reconstruction.
Findings
Level-1 networks are reconstructible from shortest distances.
Level-2 networks are reconstructible from multisets of distances.
Networks of level higher than 2 are not reconstructible from their distances.
Abstract
A phylogenetic network is a graph-theoretical tool that is used by biologists to represent the evolutionary history of a collection of species. One potential way of constructing such networks is via a distance-based approach, where one is asked to find a phylogenetic network that in some way represents a given distance matrix, which gives information on the evolutionary distances between present-day taxa. Here, we consider the following question. For which~ are unrooted level- networks uniquely determined by their distance matrices? We consider this question for shortest distances as well as for the case that the multisets of all distances is given. We prove that level- networks and level- networks are reconstructible from their shortest distances and multisets of distances, respectively. Furthermore we show that, in general, networks of level higher than~ are not…
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Taxonomy
TopicsEvolution and Paleontology Studies · Genomics and Phylogenetic Studies · Genetic diversity and population structure
